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You're reading from  Julia Cookbook

Product typeBook
Published inSep 2016
Reading LevelBeginner
Publisher
ISBN-139781785882012
Edition1st Edition
Languages
Julia
Concepts
Data Science
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Authors (2):
Raj R Jalem
Raj R Jalem
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Raj R Jalem


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Jalem Raj Rohit
Jalem Raj Rohit
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Jalem Raj Rohit

Jalem Raj Rohit is an IIT Jodhpur graduate with a keen interest in recommender systems, machine learning, and serverless and distributed systems. Raj currently works as a senior consultantdata scienceand NLP at Episource, before which he worked at Zomato and Kayako. He contributes to open source projects in Python, Go, and Julia. He also speaks at tech conferences about serverless engineering and machine learning.
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Scatter plots

Scatter plots are the most basic plots in exploratory analytics. They help the analyst get a rough idea of the data distribution and the relationship between the corresponding columns, which in turn helps identify some prominent patterns in the data.

Getting ready

We will use the Gadfly library, which we used in the preceding recipes. So, to install the library, you can follow the installation steps mentioned in the previous recipes.

How to do it...

  1. Let's start off with plotting a simple scatter plot of iris features: the length and the width. This will help us identify the relationship between the two features of the flower. This can be done using a line plot similar to the one in the preceding recipe, but including the aesthetic Geom.point instead of Geom.line in the plot() function. This can be done as follows:

    plot(dataset("datasets", "iris"), x = "SepalLength", y = "SepalWidth", Geom.point)

  2. Next, we will try to put in some aesthetics on the plot to make it more informative...

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Julia Cookbook
Published in: Sep 2016Publisher: ISBN-13: 9781785882012
© 2016 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Raj R Jalem


Read more about Raj R Jalem

author image
Jalem Raj Rohit

Jalem Raj Rohit is an IIT Jodhpur graduate with a keen interest in recommender systems, machine learning, and serverless and distributed systems. Raj currently works as a senior consultantdata scienceand NLP at Episource, before which he worked at Zomato and Kayako. He contributes to open source projects in Python, Go, and Julia. He also speaks at tech conferences about serverless engineering and machine learning.
Read more about Jalem Raj Rohit

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